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Field
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The research in this doctoral opportunity will investigate the relationship between material elastic and thermal properties by using high resolution digital imaging under dynamic loads. Digital
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computing facilities and membership in the multidisciplinary Control & Power Group, which spans control engineering, energy systems and sustainability. Sector-leading salary and remuneration package
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degree or MSc degree (Distinction/Merit) in engineering, computer science, or other closely related fields. Experience with ROS and proficient programming language skills (C++, Python, MATLAB) would be
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The rapid growth of the data economy and the privacy implications accompanying it have motivated a new paradigm shift towards decentralisation of data on the Web, which aims to foster data
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of Sciences. We are a member of the Vienna Center for Quantum Science and Technology (VCQ), one of Europe’s largest hubs for quantum science, and of the Austrian Cluster of Excellence quantA, which supports
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of Sciences. We are a member of the Vienna Center for Quantum Science and Technology (VCQ), one of Europe’s largest hubs for quantum science, and of the Austrian Cluster of Excellence quantA, which supports
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to discuss the post informally, please contact Dr Yuanchang Liu () About you The ideal candidate will hold a PhD (or be close to completion) in Mechanical Engineering, Robotics, Marine Engineering, or a
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/or modelling is essential. Experience in machine learning, computer vision, and computer programming is desirable. In addition, applicants should be highly motivated, able to work independently, as
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and is a leading multidisciplinary research-intensive technology university delivering economic, social and cultural benefits. For more information please visit: https://www.brunel.ac.uk/about/our
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Resilience (three posts) (Ref. 250604003) The Department of Building Environment and Energy Engineering (BEEE) contributes to PolyU’s world ranking of 17th for Architecture and Built Environment as